Dataset statistics
| Number of variables | 7 |
|---|---|
| Number of observations | 3141 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 687.3 KiB |
| Average record size in memory | 224.1 B |
Variable types
| Numeric | 5 |
|---|---|
| Categorical | 2 |
state has a high cardinality: 51 distinct values | High cardinality |
area_name has a high cardinality: 1876 distinct values | High cardinality |
fips is highly overall correlated with state | High correlation |
urban_influence_code_2013 is highly overall correlated with ci90ub517_2019 | High correlation |
ci90ub517_2019 is highly overall correlated with urban_influence_code_2013 | High correlation |
ci90ub517p_2019 is highly overall correlated with ci90ubinc_2019 | High correlation |
ci90ubinc_2019 is highly overall correlated with ci90ub517p_2019 | High correlation |
state is highly overall correlated with fips | High correlation |
fips has unique values | Unique |
Reproduction
| Analysis started | 2023-01-17 13:58:36.314632 |
|---|---|
| Analysis finished | 2023-01-17 14:00:50.262926 |
| Duration | 2 minutes and 13.95 seconds |
| Software version | pandas-profiling vv3.6.2 |
| Download configuration | config.json |
fips
Real number (ℝ)
HIGH CORRELATION  UNIQUE 
| Distinct | 3141 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30388.545 |
| Minimum | 1001 |
|---|---|
| Maximum | 56045 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 24.7 KiB |
Quantile statistics
| Minimum | 1001 |
|---|---|
| 5-th percentile | 5093 |
| Q1 | 18179 |
| median | 29177 |
| Q3 | 45081 |
| 95-th percentile | 53063 |
| Maximum | 56045 |
| Range | 55044 |
| Interquartile range (IQR) | 26902 |
Descriptive statistics
| Standard deviation | 15162.438 |
|---|---|
| Coefficient of variation (CV) | 0.49895242 |
| Kurtosis | -1.0976458 |
| Mean | 30388.545 |
| Median Absolute Deviation (MAD) | 12020 |
| Skewness | -0.080325149 |
| Sum | 95450421 |
| Variance | 2.2989953 × 108 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1001 | 1 | < 0.1% |
| 39091 | 1 | < 0.1% |
| 39095 | 1 | < 0.1% |
| 39097 | 1 | < 0.1% |
| 39099 | 1 | < 0.1% |
| 39101 | 1 | < 0.1% |
| 39103 | 1 | < 0.1% |
| 39105 | 1 | < 0.1% |
| 39107 | 1 | < 0.1% |
| 39109 | 1 | < 0.1% |
| Other values (3131) | 3131 |
| Value | Count | Frequency (%) |
| 1001 | 1 | |
| 1003 | 1 | |
| 1005 | 1 | |
| 1007 | 1 | |
| 1009 | 1 | |
| 1011 | 1 | |
| 1013 | 1 | |
| 1015 | 1 | |
| 1017 | 1 | |
| 1019 | 1 |
| Value | Count | Frequency (%) |
| 56045 | 1 | |
| 56043 | 1 | |
| 56041 | 1 | |
| 56039 | 1 | |
| 56037 | 1 | |
| 56035 | 1 | |
| 56033 | 1 | |
| 56031 | 1 | |
| 56029 | 1 | |
| 56027 | 1 |
state
Categorical
HIGH CARDINALITY  HIGH CORRELATION 
| Distinct | 51 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 181.1 KiB |
| TX | |
|---|---|
| GA | 159 |
| VA | 133 |
| KY | 120 |
| MO | 115 |
| Other values (46) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 6282 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | AL |
|---|---|
| 2nd row | AL |
| 3rd row | AL |
| 4th row | AL |
| 5th row | AL |
Common Values
| Value | Count | Frequency (%) |
| TX | 254 | 8.1% |
| GA | 159 | 5.1% |
| VA | 133 | 4.2% |
| KY | 120 | 3.8% |
| MO | 115 | 3.7% |
| KS | 105 | 3.3% |
| IL | 102 | 3.2% |
| NC | 100 | 3.2% |
| IA | 99 | 3.2% |
| TN | 95 | 3.0% |
| Other values (41) | 1859 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| tx | 254 | 8.1% |
| ga | 159 | 5.1% |
| va | 133 | 4.2% |
| ky | 120 | 3.8% |
| mo | 115 | 3.7% |
| ks | 105 | 3.3% |
| il | 102 | 3.2% |
| nc | 100 | 3.2% |
| ia | 99 | 3.2% |
| tn | 95 | 3.0% |
| Other values (41) | 1859 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 819 | |
| N | 663 | 10.6% |
| M | 510 | 8.1% |
| I | 501 | 8.0% |
| T | 456 | 7.3% |
| O | 380 | 6.0% |
| K | 331 | 5.3% |
| L | 300 | 4.8% |
| S | 299 | 4.8% |
| C | 277 | 4.4% |
| Other values (14) | 1746 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 6282 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 819 | |
| N | 663 | 10.6% |
| M | 510 | 8.1% |
| I | 501 | 8.0% |
| T | 456 | 7.3% |
| O | 380 | 6.0% |
| K | 331 | 5.3% |
| L | 300 | 4.8% |
| S | 299 | 4.8% |
| C | 277 | 4.4% |
| Other values (14) | 1746 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6282 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 819 | |
| N | 663 | 10.6% |
| M | 510 | 8.1% |
| I | 501 | 8.0% |
| T | 456 | 7.3% |
| O | 380 | 6.0% |
| K | 331 | 5.3% |
| L | 300 | 4.8% |
| S | 299 | 4.8% |
| C | 277 | 4.4% |
| Other values (14) | 1746 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6282 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 819 | |
| N | 663 | 10.6% |
| M | 510 | 8.1% |
| I | 501 | 8.0% |
| T | 456 | 7.3% |
| O | 380 | 6.0% |
| K | 331 | 5.3% |
| L | 300 | 4.8% |
| S | 299 | 4.8% |
| C | 277 | 4.4% |
| Other values (14) | 1746 |
area_name
Categorical
| Distinct | 1876 |
|---|---|
| Distinct (%) | 59.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 218.0 KiB |
| Washington County | 30 |
|---|---|
| Jefferson County | 25 |
| Franklin County | 24 |
| Jackson County | 23 |
| Lincoln County | 23 |
| Other values (1871) |
Length
| Max length | 33 |
|---|---|
| Median length | 28 |
| Mean length | 14.0156 |
| Min length | 10 |
Characters and Unicode
| Total characters | 44023 |
|---|---|
| Distinct characters | 55 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1452 ? |
|---|---|
| Unique (%) | 46.2% |
Sample
| 1st row | Autauga County |
|---|---|
| 2nd row | Baldwin County |
| 3rd row | Barbour County |
| 4th row | Bibb County |
| 5th row | Blount County |
Common Values
| Value | Count | Frequency (%) |
| Washington County | 30 | 1.0% |
| Jefferson County | 25 | 0.8% |
| Franklin County | 24 | 0.8% |
| Jackson County | 23 | 0.7% |
| Lincoln County | 23 | 0.7% |
| Madison County | 19 | 0.6% |
| Montgomery County | 18 | 0.6% |
| Clay County | 18 | 0.6% |
| Monroe County | 17 | 0.5% |
| Union County | 17 | 0.5% |
| Other values (1866) | 2927 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| county | 3006 | |
| parish | 64 | 1.0% |
| city | 44 | 0.7% |
| washington | 31 | 0.5% |
| jefferson | 28 | 0.4% |
| franklin | 26 | 0.4% |
| st | 26 | 0.4% |
| jackson | 24 | 0.4% |
| lincoln | 24 | 0.4% |
| madison | 20 | 0.3% |
| Other values (1864) | 3219 |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 4871 | |
| o | 4741 | |
| t | 4041 | 9.2% |
| u | 3583 | 8.1% |
| C | 3418 | 7.8% |
| y | 3389 | 7.7% |
| 3371 | 7.7% | |
| a | 2245 | 5.1% |
| e | 2165 | 4.9% |
| r | 1608 | 3.7% |
| Other values (45) | 10591 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 34106 | |
| Uppercase Letter | 6509 | 14.8% |
| Space Separator | 3371 | 7.7% |
| Other Punctuation | 31 | 0.1% |
| Dash Punctuation | 6 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 4871 | |
| o | 4741 | |
| t | 4041 | |
| u | 3583 | |
| y | 3389 | |
| a | 2245 | |
| e | 2165 | |
| r | 1608 | 4.7% |
| l | 1266 | 3.7% |
| i | 1262 | 3.7% |
| Other values (16) | 4935 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 3418 | |
| M | 311 | 4.8% |
| S | 283 | 4.3% |
| P | 263 | 4.0% |
| B | 261 | 4.0% |
| W | 225 | 3.5% |
| L | 224 | 3.4% |
| H | 198 | 3.0% |
| G | 156 | 2.4% |
| D | 146 | 2.2% |
| Other values (15) | 1024 | 15.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 27 | |
| ' | 4 | 12.9% |
Space Separator
| Value | Count | Frequency (%) |
| 3371 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 6 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 40615 | |
| Common | 3408 | 7.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 4871 | |
| o | 4741 | |
| t | 4041 | |
| u | 3583 | 8.8% |
| C | 3418 | 8.4% |
| y | 3389 | 8.3% |
| a | 2245 | 5.5% |
| e | 2165 | 5.3% |
| r | 1608 | 4.0% |
| l | 1266 | 3.1% |
| Other values (41) | 9288 |
Common
| Value | Count | Frequency (%) |
| 3371 | ||
| . | 27 | 0.8% |
| - | 6 | 0.2% |
| ' | 4 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 44023 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 4871 | |
| o | 4741 | |
| t | 4041 | 9.2% |
| u | 3583 | 8.1% |
| C | 3418 | 7.8% |
| y | 3389 | 7.7% |
| 3371 | 7.7% | |
| a | 2245 | 5.1% |
| e | 2165 | 4.9% |
| r | 1608 | 3.7% |
| Other values (45) | 10591 |
urban_influence_code_2013
Real number (ℝ)
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.2687042 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 24.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.4993727 |
|---|---|
| Coefficient of variation (CV) | 0.6641809 |
| Kurtosis | -1.1168181 |
| Mean | 5.2687042 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.40191322 |
| Sum | 16549 |
| Variance | 12.245609 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 2 | 733 | |
| 1 | 432 | |
| 6 | 344 | |
| 8 | 269 | 8.6% |
| 5 | 242 | 7.7% |
| 10 | 189 | 6.0% |
| 9 | 184 | 5.9% |
| 12 | 182 | 5.8% |
| 7 | 162 | 5.2% |
| 4 | 149 | 4.7% |
| Other values (2) | 255 | 8.1% |
| Value | Count | Frequency (%) |
| 1 | 432 | |
| 2 | 733 | |
| 3 | 130 | 4.1% |
| 4 | 149 | 4.7% |
| 5 | 242 | 7.7% |
| 6 | 344 | |
| 7 | 162 | 5.2% |
| 8 | 269 | 8.6% |
| 9 | 184 | 5.9% |
| 10 | 189 | 6.0% |
| Value | Count | Frequency (%) |
| 12 | 182 | |
| 11 | 125 | 4.0% |
| 10 | 189 | |
| 9 | 184 | |
| 8 | 269 | |
| 7 | 162 | |
| 6 | 344 | |
| 5 | 242 | |
| 4 | 149 | |
| 3 | 130 | 4.1% |
ci90ub517_2019
Real number (ℝ)
| Distinct | 2125 |
|---|---|
| Distinct (%) | 67.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3171.0462 |
| Minimum | 4 |
|---|---|
| Maximum | 291598 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 24.7 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 96 |
| Q1 | 431 |
| median | 990 |
| Q3 | 2289 |
| 95-th percentile | 12441 |
| Maximum | 291598 |
| Range | 291594 |
| Interquartile range (IQR) | 1858 |
Descriptive statistics
| Standard deviation | 10217.041 |
|---|---|
| Coefficient of variation (CV) | 3.221978 |
| Kurtosis | 278.33935 |
| Mean | 3171.0462 |
| Median Absolute Deviation (MAD) | 713 |
| Skewness | 13.50658 |
| Sum | 9960256 |
| Variance | 1.0438793 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 141 | 7 | 0.2% |
| 357 | 6 | 0.2% |
| 625 | 5 | 0.2% |
| 170 | 5 | 0.2% |
| 765 | 5 | 0.2% |
| 92 | 5 | 0.2% |
| 361 | 5 | 0.2% |
| 315 | 5 | 0.2% |
| 164 | 5 | 0.2% |
| 223 | 5 | 0.2% |
| Other values (2115) | 3088 |
| Value | Count | Frequency (%) |
| 4 | 1 | < 0.1% |
| 11 | 1 | < 0.1% |
| 12 | 1 | < 0.1% |
| 13 | 2 | |
| 15 | 3 | |
| 16 | 1 | < 0.1% |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 2 |
| Value | Count | Frequency (%) |
| 291598 | 1 | |
| 191382 | 1 | |
| 149400 | 1 | |
| 131963 | 1 | |
| 108106 | 1 | |
| 104650 | 1 | |
| 92682 | 1 | |
| 88586 | 1 | |
| 84229 | 1 | |
| 84164 | 1 |
ci90ub517p_2019
Real number (ℝ)
| Distinct | 501 |
|---|---|
| Distinct (%) | 16.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24.675422 |
| Minimum | 2.9 |
|---|---|
| Maximum | 70.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 24.7 KiB |
Quantile statistics
| Minimum | 2.9 |
|---|---|
| 5-th percentile | 9.9 |
| Q1 | 16.7 |
| median | 23 |
| Q3 | 30.9 |
| 95-th percentile | 44.6 |
| Maximum | 70.1 |
| Range | 67.2 |
| Interquartile range (IQR) | 14.2 |
Descriptive statistics
| Standard deviation | 10.743469 |
|---|---|
| Coefficient of variation (CV) | 0.43539148 |
| Kurtosis | 0.70020474 |
| Mean | 24.675422 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.8038354 |
| Sum | 77505.5 |
| Variance | 115.42212 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 19.3 | 20 | 0.6% |
| 16 | 18 | 0.6% |
| 25.5 | 18 | 0.6% |
| 16.4 | 18 | 0.6% |
| 21.8 | 18 | 0.6% |
| 20.1 | 18 | 0.6% |
| 21.2 | 18 | 0.6% |
| 15.5 | 17 | 0.5% |
| 17.3 | 17 | 0.5% |
| 22.7 | 17 | 0.5% |
| Other values (491) | 2962 |
| Value | Count | Frequency (%) |
| 2.9 | 1 | < 0.1% |
| 3.8 | 2 | |
| 3.9 | 1 | < 0.1% |
| 4.2 | 1 | < 0.1% |
| 4.3 | 1 | < 0.1% |
| 4.4 | 3 | |
| 5 | 2 | |
| 5.1 | 1 | < 0.1% |
| 5.2 | 1 | < 0.1% |
| 5.4 | 2 |
| Value | Count | Frequency (%) |
| 70.1 | 1 | |
| 65.5 | 1 | |
| 64.7 | 1 | |
| 64.4 | 1 | |
| 64.1 | 1 | |
| 64 | 1 | |
| 62.5 | 1 | |
| 62.1 | 2 | |
| 62 | 1 | |
| 61.7 | 1 |
ci90ubinc_2019
Real number (ℝ)
| Distinct | 3030 |
|---|---|
| Distinct (%) | 96.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60427.026 |
| Minimum | 27183 |
|---|---|
| Maximum | 156109 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 24.7 KiB |
Quantile statistics
| Minimum | 27183 |
|---|---|
| 5-th percentile | 41436 |
| Q1 | 50859 |
| median | 58056 |
| Q3 | 67246 |
| 95-th percentile | 89416 |
| Maximum | 156109 |
| Range | 128926 |
| Interquartile range (IQR) | 16387 |
Descriptive statistics
| Standard deviation | 14922.953 |
|---|---|
| Coefficient of variation (CV) | 0.24695825 |
| Kurtosis | 3.4403095 |
| Mean | 60427.026 |
| Median Absolute Deviation (MAD) | 8197 |
| Skewness | 1.3660645 |
| Sum | 1.8980129 × 108 |
| Variance | 2.2269451 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 66646 | 3 | 0.1% |
| 54920 | 2 | 0.1% |
| 68030 | 2 | 0.1% |
| 46460 | 2 | 0.1% |
| 56927 | 2 | 0.1% |
| 53398 | 2 | 0.1% |
| 46289 | 2 | 0.1% |
| 66439 | 2 | 0.1% |
| 49752 | 2 | 0.1% |
| 62688 | 2 | 0.1% |
| Other values (3020) | 3120 |
| Value | Count | Frequency (%) |
| 27183 | 1 | |
| 29147 | 1 | |
| 29714 | 1 | |
| 30318 | 1 | |
| 31017 | 1 | |
| 31654 | 1 | |
| 31846 | 1 | |
| 32180 | 1 | |
| 32537 | 1 | |
| 32676 | 1 |
| Value | Count | Frequency (%) |
| 156109 | 1 | |
| 152838 | 1 | |
| 140574 | 1 | |
| 135527 | 1 | |
| 130916 | 1 | |
| 129701 | 1 | |
| 127585 | 1 | |
| 127525 | 1 | |
| 125882 | 1 | |
| 125623 | 1 |
| fips | urban_influence_code_2013 | ci90ub517_2019 | ci90ub517p_2019 | ci90ubinc_2019 | state | |
|---|---|---|---|---|---|---|
| fips | 1.000 | -0.018 | -0.042 | -0.056 | 0.060 | 1.000 |
| urban_influence_code_2013 | -0.018 | 1.000 | -0.614 | 0.315 | -0.394 | 0.206 |
| ci90ub517_2019 | -0.042 | -0.614 | 1.000 | -0.006 | 0.057 | 0.111 |
| ci90ub517p_2019 | -0.056 | 0.315 | -0.006 | 1.000 | -0.881 | 0.222 |
| ci90ubinc_2019 | 0.060 | -0.394 | 0.057 | -0.881 | 1.000 | 0.234 |
| state | 1.000 | 0.206 | 0.111 | 0.222 | 0.234 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| fips | state | area_name | urban_influence_code_2013 | ci90ub517_2019 | ci90ub517p_2019 | ci90ubinc_2019 | |
|---|---|---|---|---|---|---|---|
| 0 | 01001 | AL | Autauga County | 2.0 | 1850 | 19.4 | 63949 |
| 1 | 01003 | AL | Baldwin County | 2.0 | 5987 | 17.2 | 65149 |
| 2 | 01005 | AL | Barbour County | 6.0 | 1822 | 49.0 | 40122 |
| 3 | 01007 | AL | Bibb County | 1.0 | 1050 | 32.7 | 53545 |
| 4 | 01009 | AL | Blount County | 1.0 | 2493 | 25.8 | 59027 |
| 5 | 01011 | AL | Bullock County | 6.0 | 807 | 53.2 | 35563 |
| 6 | 01013 | AL | Butler County | 6.0 | 1307 | 41.9 | 42839 |
| 7 | 01015 | AL | Calhoun County | 2.0 | 4996 | 28.5 | 51478 |
| 8 | 01017 | AL | Chambers County | 5.0 | 1917 | 38.8 | 46692 |
| 9 | 01019 | AL | Cherokee County | 6.0 | 1076 | 29.2 | 51189 |
| fips | state | area_name | urban_influence_code_2013 | ci90ub517_2019 | ci90ub517p_2019 | ci90ubinc_2019 | |
|---|---|---|---|---|---|---|---|
| 3131 | 56027 | WY | Niobrara County | 12.0 | 70 | 26.3 | 54455 |
| 3132 | 56029 | WY | Park County | 11.0 | 708 | 16.4 | 65050 |
| 3133 | 56031 | WY | Platte County | 11.0 | 228 | 18.5 | 62974 |
| 3134 | 56033 | WY | Sheridan County | 8.0 | 566 | 12.2 | 71084 |
| 3135 | 56035 | WY | Sublette County | 10.0 | 158 | 10.0 | 86158 |
| 3136 | 56037 | WY | Sweetwater County | 8.0 | 872 | 11.1 | 87841 |
| 3137 | 56039 | WY | Teton County | 8.0 | 201 | 6.7 | 111143 |
| 3138 | 56041 | WY | Uinta County | 8.0 | 479 | 11.1 | 78321 |
| 3139 | 56043 | WY | Washakie County | 11.0 | 226 | 17.4 | 60194 |
| 3140 | 56045 | WY | Weston County | 9.0 | 170 | 16.7 | 66545 |